class_docstr: A tracker for MLflow.
code: def log_metrics(
      self,
      metrics: Mapping[str, float],
      step: Optional[int] = None,
      prefix: Optional[str] = None,
  ) -> None:  # noqa: D102
      metrics = flatten_dictionary(dictionary=metrics, prefix=prefix)
      self.mlflow.log_metrics(metrics=metrics, step=step)
  
file_path: pykeen/src/pykeen/trackers/mlflow.py
imports: from typing import Any, Dict, Mapping, Optional
  from .base import ResultTracker
  from ..utils import flatten_dictionary
label_desc: Use image node_id 3 for calling the MLFlowResultTracker obj's underlying member method code with example usage: obj.log_metrics(metrics, step, prefix) without return types